Search Results - (((((((want OR wantsi) OR semantic) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

Naming and reference : the link of word to object by Nelson, R. J. (Raymond John), 1917-

Table of Contents: “…Nativism and causal reference -- CHAPTER 9 Mechanism -- 1. Top-down semantics -- 2. Up from reference -- 3. Algorithms: free and embodied -- 4. …”
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What to Do When Machines Do Everything : Five Ways Your Business Can Thrive in an Economy of Bots, AI, and Data. by Frank, Malcolm

Table of Contents: “…What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data; Contents; Preface; 1: When Machines Do Everything; Like It or Not, This Is Happening; Digital That Matters; Playing the New Game; But Will I Be Automated Away?…”
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Automating open source intelligence : algorithms for OSINT

Table of Contents: “…Cover; Title Page ; Copyright Page; Contents; List of Contributors; Chapter 1 -- The Automating of Open Source Intelligence; The Commercial Angle; Algorithms; References; Chapter 2 -- Named Entity Resolution in Social Media; Introduction; Evaluating Semantic Processing Performance; Characterizing Semantic Processing Errors; Meaning Loss in Biblical Proverbs: A Case Study; Models for Improving Semantic Processing Performance; Discussion; References; Chapter 3 -- Relative Cyberattack Attribution; Introduction; Basic Attack Structure; Anonymization on the Internet; Weaknesses in Anonymization.…”
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A guide to creating a successful algorithmic trading strategy by Kaufman, Perry J.

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Bayesian phylogenetics : methods, algorithms, and applications

Table of Contents: “…Front Cover; Contents; List of Figures; List of Tables; Preface; Editors; Contributors; Chapter 1: Bayesian phylogenetics: methods, computational algorithms, and applications; Chapter 2: Priors in Bayesian phylogenetics; Chapter 3: Inated density ratio (IDR) method for estimating marginal likelihoods in Bayesian phylogenetics; Chapter 4: Bayesian model selection in phylogenetics and genealogy-based population genetics; Chapter 5: Variable tree topology stepping-stone marginal likelihood estimation; Chapter 6: Consistency of marginal likelihood estimation when topology varies.…”
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Conceptual atomism and the computational theory of mind : a defense of content-internalism and semantic externalism by Kuczynski, John-Michael

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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x by Lesmeister, Cory

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Cryptography Apocalypse : Preparing for the Day When Quantum Computing Breaks Today's Crypto. by Grimes, Roger A.

Table of Contents: “…59 -- Cryptography Basics 59 -- Encryption 59 -- Integrity Hashing 72 -- Cryptographic Uses 73 -- How Quantum Computers Can Break Cryptography 74 -- Cutting Time 74 -- Quantum Algorithms 76 -- What Quantum Can and Can’t Break 79 -- Still Theoretical 82 -- Summary 83 -- 4 When Will the Quantum Crypto Break Happen? …”
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The burden of choice : recommendations, subversion, and algorithmic culture by Cohn, Jonathan

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Turing's vision : the birth of computer science by Bernhardt, Chris

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Adventures in Raspberry Pi by Philbin, Carrie Anne

Table of Contents: “…Creating Health-Point-Stealing Sprites -- Improving the Movement of the Adventurer Sprite Using if Blocks -- Creating a Game Over Screen -- Ideas for Improvements to Your Game -- Adventure 4 Programming Shapes with Turtle Graphics -- Scratch Turtle Graphics -- Using Pen Down and Pen Up -- Drawing Simple Shapes -- Using "clear" and Setting a Start Point -- Using Variables Instead of Values -- Changing the Size and Colour of the Pen -- Creating Spiral Patterns -- Using User Input to Determine the Number of Sides -- Python Turtle Graphics -- Introducing Python Modules -- The Python 3 Environment and the Interpreter Window -- Using the Turtle Module in Python -- The range Function -- Other Python Turtle Module Commands -- Some Super Spirals -- Further Adventures with Python Turtle -- Adventure 5 Programming with Python -- Getting Set Up for Python -- Python Programming Language -- The IDLE Environment -- Programming in Python: Using a Function -- Using a Text Editor to Create a Code File -- Using the Python time and random Modules -- Python Text Adventure Game -- Getting User Input -- Using Conditionals -- Using a while Loop -- Using a Variable for Health Points -- Putting It All Together -- Defining Functions -- Creating a Main Game Loop -- Continuing Your Python Adventure -- Adventure 6 Programming Minecraft Worlds on the Raspberry Pi -- Getting Started with Minecraft Pi -- Your First Minecraft Pi Python Program -- Using Coordinates in Minecraft Pi -- Finding the Player's Location -- Changing the Player's Location -- Placing a Block -- Placing Multiple Blocks -- Types of Blocks -- Creating a TNT Chain Reaction -- Creating a Diamond Transporter -- Sharing and Cloning Minecraft Pi Programs -- Adventure 7 Coding Music with Sonic Pi -- Getting Started with Sonic Pi -- The Sonic Pi Interface -- Creating Your First Sounds with Sonic Pi.…”
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Against all odds : historical women and new algorithms

System : the shaping of modern knowledge by Siskin, Clifford

Table of Contents: “…Intro -- CONTENTS -- ACKNOWLEDGMENTS -- PROLOGUE: "THE MOST PRIMITIVE QUESTION" -- FINDING ANSWERS -- SYSTEMS ABOVE/SYSTEMS BELOW -- THE SHAPE OF SYSTEM AND THE SHAPE OF THIS BOOK -- Part I PAST AND PRESENT-FROM THE "SYSTEM OF THE WORLD" TO A WORLD FULL OF SYSTEMS -- 1 ENGAGING SYSTEM -- SIGHTING SYSTEMS "WITH THE HELP OF A SPYGLASS LATELY DEVISED" -- TAKING HOLD-SYSTEM AS HANDSHAKE -- CHANGING OVER TIME-SYSTEM AS A GENRE -- SHAPING KNOWLEDGE-SYSTEM AS A SCALABLE TECHNOLOGY -- 2 HISTORIES FOR SYSTEMS -- SYSTEM AND HISTORY I -- THE TECTONIC MAPS -- HISTORY AMONG THE DISCIPLINES-THE NARROWING -- SYSTEM AND HISTORY II -- RECLAIMING LITERARY HISTORY -- THE HISTORY OF MEDIATION -- "PARTICULAR HISTORIES"-THE HISTORY OF BLAME AND THE HISTORY OF THE REAL -- Part II MEDIATING KNOWLEDGE-SYSTEM AND THE FATE OF ENLIGHTENMENT -- 3 THE PROJECT OF ENLIGHTENMENT (MASTER SYSTEMS) -- THE NEWTONIAN DIFFERENCE-SYSTEM AND THE REAL -- MIXED MESSAGES-"TOWARDS" SYSTEM -- MAKING MASTER SYSTEMS-STRATEGIES FOR ENLIGHTENMENT -- 4 DISCIPLINARITY (EMBEDDED AND SPECIALIZED SYSTEMS) -- ENLIGHTENMENT AND PROBABILITY-KNOWLEDGE BEFORE THE DISCIPLINES -- AFTER MASTER SYSTEMS-THE REORGANIZATION OF KNOWLEDGE -- SYSTEM AMONG THE DISCIPLINES-EMBEDDEDNESS AND TRAVEL -- MORE THINGS -- RAISING SYSTEMS -- Part III CONNECTIVITIES-SYSTEM AND THE INSTITUTING OF MODERNITY -- 5 BLAMING THE SYSTEM-INSTITUTING THE POLITICAL -- SYSTEMATIZING-SYSTEM AT WORK IN THE WORLD -- WHEN SYSTEM BECAME AN OBJECT TO BLAME -- THE POLITICS OF BLAME-THE NOVEL AND THE SYSTEM -- POLITICS AS BLAME-LIBERALISM AND THE SYSTEM -- TAKING THE BLAME-THE HANDS OF WOMEN -- 6 WRITING UPON SYSTEM-INSTITUTING CULTURE -- PARTS INTO WHOLES-SYSTEM AND THE IMPERATIVE OF CULTURE -- THE CULTURAL INSTITUTION OF LITERATURE -- THE SECRET HISTORY OF ROMANTICISM-A SYNOPSIS -- AESTHETICS, AUTHORSHIP, AND THE FATE OF SYSTEM.…”
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Language production and interpretation : linguistics meets cognition by Zeevat, Henk, 1952-

Table of Contents: “…Provisional English; 2.3. The Production Algorithm; 2.3.1. Procedural Interpretation of the Constraints; 2.4. …”
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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning : Incorporate New Powerful ML Algorithms Such As Deep Reinforcement Learning for Games. by Lanham, Micheal

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Heuristics in analytics : a practical perspective of what influences our analytical world by Reis Pinheiro, Carlos Andre, 1940-, McNeill, Fiona

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Intelligence emerging : adaptivity and search in evolving neural systems by Downing, Keith L.

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Tomorrow's troubles : risk, anxiety, and prudence in an age of algorithmic governance by Scherz, Paul J.

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Machine learning with Scala quick start guide : leverage popular machine learning algorithms and techniques and implement them in Scala by Karim, Md. Rezaul

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Foundations of Probabilistic Logic Programming : Languages, Semantics, Inference and Learning. by Riguzzi, Fabrizio

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